
Artificial Intelligence Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Artificial Intelligence
Damir M.
Last position:
Head of Research & Chairman of the Research Advisory Board at SBS Swiss Business School
Swiss University of Applied Sciences institute (HEdA/AAQ accredited); ranked #5 globally for Executive MBA (CEO Magazine 2025)
- Led the research function and chaired the Research Advisory Board.
- Editor of the Journal of Applied Business Research.
- Member of the Thesis and Dissertation Committee.
- Contributed to the AAQ and ACBSP accreditation processes.
Matthias S.
Last position:
Lecturer in Software Management at Graubünden University of Applied Sciences
- Design and delivery of the university module “Software Management” in the Bachelor’s degree program in Artificial Intelligence in Software Engineering
- Teaching software project management, project organization, stakeholder management, risk and quality management, and agile and hybrid project management
- Coverage of release planning, cut-over, go-live, handover to operations, and the operational impact of technical decisions
- Combining methodological foundations with experience from software development, customer projects, delivery, release management, testing, and IT operations
- Use of AI in software and project management
Methods and tools: Software project management, HERMES, PRINCE2, Scrum, Kanban, hybrid approaches, requirements engineering, risk and quality management, release management, test management, Moodle
Vincent V.
Last position:
IT Business Partner & Enterprise Architect at Sulzer
- Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
- Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
- Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
- Led the divisional & group wide Application Rationalization initiative
- Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
- Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
- Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
- Built and owned the 3-year IT Strategic Roadmap for Chemtech
- Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
- Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.
Nik G.
Last position:
Executive Interim & Transformation Partner at Audoban & Co. GmbH
- Stepped into a senior interim mandate with hands-on accountability for a complex business model transformation, taking ownership of execution, operating decisions, and delivery within a highly regulated and complex regional environment.
- Led market access, launch, and go-to-market transformation work, aligning commercial, operational, and governance structures to support entry into new markets under time and regulatory pressure.
- Supported post-merger integration as well as divestiture shaping assignments, working hands-on with executive teams to align operating realities, decision rights, and accountability with transaction intent.
- Took interim ownership of critical transformation and integration programs, resetting priorities, sequencing, and leadership expectations where delivery risk or organizational friction had emerged.
- Acted as a trusted interim partner to CEOs and senior leaders during periods of structural change, providing clear judgement, hands-on leadership, and execution discipline.
Caroline Z.
Last position:
Support & Consulting in the Digital Transformation Environment at Schweizerische Mobiliar
via AgonPro AG
- Review and optimization of training materials, guides and documentation in the SAFe environment
- Structured and user-oriented preparation of complex content
- Critical analysis of existing solutions and development of specific improvement proposals
- Contributing to AI topics in the context of training and the introduction of artificial intelligence
Mike B.
Last position:
Freelance UX-Researcher, Designer at Bodensee Schiffsbetriebe; Labhard-Medien
- UX research, UX concept development, and UX design for an AI dialogue system with information on events, locations, public transport timetables, and special trips. Observations, remote user tests, session recordings, analytics evaluations, RapidUserTests, prototyping, etc., using Figma/Figma Make, Claude Design, and OpenAI Codex (Design)
Marc P.
Last position:
Digital Strategy Consultant at EVO Creations
Retail AI Transformation:
- -------------------------- Led the transition of bespoke AI conversational models into a scalable, luxury-tier chatbot platform for Florentia Village (China), reducing operational costs to 20% while providing a multi-tenant solution for retail stakeholders, increasing revenue through AI-driven sales recommendations.
Consumer Tech Innovation:
- ----------------------------- Developed an AI real-time automation engine for Philips live-streaming, enabling automated Q&A and sentiment analysis to enhance high-pressure sales performance
Pharma Digital Strategy:
- -------------------------- Engagement lead, consultant and orchestration of Omnichannel transformation for Grünenthal across 14 countries, leading SteerCo meetings, managing financials + RAIDs + QRBs across 192 projects, liaising between C-Level (EU/US), Global Omnichannel head, Global Customer Excellence, Global Marketing Heads and Outsourcing hub (India), driving revenue to 160%.
Governance & RAID:
- ---------------------- Implemented rigorous project governance, plans, and RAID logs for high-pressure digital transformations, ensuring SteerCo visibility and cross-functional alignment across various engagements.
Product Manager (Conversational Analytics Platform):
- ---------------------------------------------------------- Led the end-to-end development of a state-of-the-art NLP-based analytics platform. Defined the product roadmap and user stories, and managed the engineering team from MVP to launch.
US-to-EU market entry:
- ------------------------- Directed the digital infrastructure for a major US-to-EU market entry, aligning global dev teams with European regulatory standards.
Patrick B.
Last position:
Senior Software Engineer at On AG
- Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
- Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
- Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
- Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
- Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
- Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
- Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."
Banashankari N.
Last position:
Senior IT Project Manager, Data and Integration Platform at MCH Group, Group IT
Led implementation of an Azure cloud-based, event-driven enterprise integration platform connecting Salesforce, Momentus(event) and ERP applications. Reduced overall costs by 60%, lowered operational errors to under 1%, and delivered on time.
- Led the full project lifecycle from initiation to delivery using agile and hybrid methods - platform vision, feasibility, technical blueprint, architecture, implementation, integration, testing, rollout and business adoption.
- Built the engineering team from the ground up, leading teams across Switzerland, Bulgaria and India using Scrum and Kanban; established Jira, Confluence, Asana and SharePoint for delivery and reporting.
- Established and managed frequent steering meetings, reporting that gave stakeholders transparency and drove key decision-making.
Chris W.
Last position:
Senior Product / UX Designer at NOUMENA DIGITAL
- Designed services, interfaces and workflows for tokenized-finance and digital-asset ecosystems, including a MiCA-regulated stablecoin platform.
- Worked directly with product, engineering and stakeholders to translate business, regulatory, privacy and technical requirements into usable product experiences.
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Nadine B.
Last position:
Program Responsibility & Innovation at Industry
- Management of security and governance initiatives
- Development of SAP BTP as an innovation platform
- Trusted advisor to executive management
Charles S.
Last position:
Data Delivery Lead at Westpac
- Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
- Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
- Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
- Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
- Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.
Christoph P.
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Constantinos S.
Last position:
Managing Director at PrimeLogic Advisory Sàrl
- Partnering with organisations to manage complex IT programmes, architect and implement ERP solutions, and embed AI where it drives measurable performance gains.
- ERP solution architecture and hands-on delivery across the full lifecycle (Oracle Cloud, Infor LN, Cegid, iValua)
- Programme and delivery leadership in both Waterfall and Agile environments (SAFe / Scrum / Kanban) - governance, stakeholder management, and execution at scale
- Comprehensive assessment of business processes, organizational maturity, and technology landscape to ensure successful ERP adoption and digital transformation initiatives
- Current mandate: Oracle Cloud SCM implementation for a Big Four consultancy
- Geneva-based; operating across Switzerland and the EU
Discover over 15,000 top freelancers
Statistics of experts using Artificial Intelligence
Aggregated from the professional profiles of matched freelancers.
Experience
22 years

Position duration
3 years

Positions per freelancer
11

Top business areas
Information Technology, Project Management, Product Development

Top industries
Information Technology, Professional Services, Banking and Finance

Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
98%
Master's degree or higher
77%
Doctorate
14%

Certifications per freelancer
3

Most common languages
English, German, French

Speak two or more languages
100%
Based on our profile pool as of 9 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Switzerland are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Switzerland using Artificial Intelligence
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 9 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Artificial Intelligence experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (78%)
- Professional Services (64%)
- Banking and Finance (55%)
- Manufacturing (47%)
- Education (34%)
- Healthcare (32%)
- Energy (28%)
- Government and Administration (26%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Artificial Intelligence covers
Artificial Intelligence, commonly called AI, enables software to perform tasks that usually require human judgment. It can classify documents, understand language, detect objects, recommend actions and generate text, images or code. Projects range from focused prediction services to AI features embedded in business applications.
Models and applications
Specialists select methods according to the data, risk and expected outcome. They may train supervised or unsupervised models, adapt large language models, build retrieval-augmented generation systems or combine computer vision with sensor data.
- Predict demand, fraud, churn or equipment failure
- Extract meaning from contracts, emails and support records
- Create search, recommendation and conversational experiences
- Inspect images, video or industrial readings
Ecosystem and tooling
AI work connects Python and SQL with libraries such as PyTorch, TensorFlow, scikit-learn and Hugging Face Transformers. Strong specialists also understand notebooks, APIs, vector databases, cloud services, model registries and deployment workflows. MLOps practices keep training, testing, monitoring and retraining controlled after launch.
When companies need specialists
Freelance expertise helps when an internal team has valuable data but lacks a clear route to a reliable product. It is useful for validating an AI use case, replacing a manual workflow, integrating a model into existing software or reviewing a solution before wider rollout.
- A prototype produces promising results but cannot reach production
- Data quality, labeling or feature design blocks progress
- A team needs an independent review of model risks and costs
- A new AI capability must connect to secure business systems
Delivery in Switzerland
Companies in Switzerland use AI across finance, insurance, healthcare, life sciences, manufacturing, logistics and professional services. Remote collaboration can work well for data and model projects when access, documentation and review routines are clear. On-site workshops may help with sensitive processes, domain knowledge and stakeholder alignment.
What strong professionals bring
The best specialists connect model performance with business outcomes. They define useful evaluation criteria, establish a sound data split, test for bias and failure cases, and explain limits without hiding uncertainty. They also protect personal and confidential data, document assumptions and deliver maintainable services rather than an isolated demonstration.
Frequently asked questions
Everything clients usually want to know about Artificial Intelligence, in one place.
Companies use Artificial Intelligence to automate decisions, search large knowledge bases, forecast demand, detect anomalies and create customer-facing experiences. Common projects include document processing, recommendation systems, conversational tools, image analysis and predictive maintenance.
Artificial Intelligence learns patterns from data or uses trained models to handle variable inputs. Traditional automation usually follows explicit rules, which can be easier to audit but less adaptable when language, images or business conditions change.
A strong AI specialist often brings adjacent skills in data preparation, statistics, software integration and model evaluation. The right choice depends on the bottleneck: poor data may call for data expertise, while a validated use case may need someone to train, deploy and monitor models.
The required depth depends on the scope, data quality and consequences of failure. A proof of concept may need focused model and integration skills, while a production system requires experience with testing, monitoring, security, governance and ongoing maintenance.
Artificial Intelligence projects often work remotely because experiments, code reviews and model evaluations are digital. Swiss companies should define access controls, data handling rules, meeting language and decision ownership early; on-site sessions can still help when domain knowledge or sensitive workflows are central.
A capable AI freelancer will ask about the business decision, available data, target users, baseline process and acceptable error types. They should also clarify infrastructure, privacy constraints, integration points, evaluation criteria and who will operate the solution after handover.
Look for evidence of shipped systems, not only model demonstrations. A strong Artificial Intelligence professional explains baselines, validation design, failure modes and trade-offs, and can show how a model was integrated, monitored and improved in a real operating environment.
Generative AI is useful when the output involves language, images, audio or other flexible content, such as summarization or assisted drafting. A conventional model may be better for a narrow prediction or classification task where consistent, measurable outputs and simpler controls matter most.
The average hourly rate of freelancers in Switzerland who have used Artificial Intelligence in their recent projects is 131 €, which corresponds to a daily rate of about 1,052 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Artificial Intelligence in their recent projects, 98% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Switzerland who have used Artificial Intelligence in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Switzerland who have used Artificial Intelligence in their recent projects are English (100%), German (88%), and French (47%).
The most common industries among freelancers in Switzerland who have used Artificial Intelligence in their recent projects are Information Technology (78%), Professional Services (64%), and Banking and Finance (55%).
The most common business areas among freelancers in Switzerland who have used Artificial Intelligence in their recent projects are Information Technology (85%), Project Management (73%), and Product Development (66%).
Main locations of FRATCH Experts, who have recently used Artificial Intelligence
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
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